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nyra-forced-aligner

Word and phoneme level speech timing for spontanoues speech. Fast, accurate and robust.

Details

External ID
1379374094
Source
GITHUB
Company
—
Product
nyra-forced-aligner
Website domain
nyra-labs.com
Launched
Sept. 21, 2026
Cohort
—
Upvotes
32
Upvotes percentile
0.7396233666410453
Tags
alignment, audio, crisperwhisper, forced, forced-aligner, forced-alignment, phoneme, phoneme-recognitio, speech, speech-recognition, spontaneous, timestamps, timing, wordlevel
Fetched at
Sept. 25, 2026, 5:02 p.m.
Updated at
Sept. 25, 2026, 5:02 p.m.

Enrichment

Theme
voice AI agents and infrastructure
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
speech alignment tool for word and phoneme timing
Manually corrected
False

Could you build this?

No Building a precise forced aligner that performs phoneme- and word-level alignment on spontaneous, disfluent speech requires specialized speech research, acoustic modeling, and deep ML expertise.

What it would actually take: Requires an acoustic model trained with CTC/ASR objectives or specialized alignment losses (e.g., Kaldi, PyTorch with CTC loss/Wav2Vec2/Whisper fine-tuning) on heavily annotated phonetic audio corpora containing spontaneous speech phenomena. The pipeline involves acoustic feature extraction, dynamic time warping or Viterbi forced alignment against phonetic dictionaries, and custom C++/CUDA kernels for low-latency inference.

Competitors

Other products that read as similar to this one — 488 launches clear the similarity bar, closest 8 shown.

Attention rank: #123 of 489 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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